Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Linn County, OR

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Linn County, OR
Series ID MHICILBOR41043A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2022-01-01
Last Updated 2023-12-14 1:11 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 23113
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27315
1994-01-01 .
1995-01-01 30761
1996-01-01 .
1997-01-01 33162
1998-01-01 34190
1999-01-01 34651
2000-01-01 35174
2001-01-01 34712
2002-01-01 35280
2003-01-01 36199
2004-01-01 37587
2005-01-01 37606
2006-01-01 39540
2007-01-01 41527
2008-01-01 43093
2009-01-01 44263
2010-01-01 40753
2011-01-01 39978
2012-01-01 40823
2013-01-01 42157
2014-01-01 41159
2015-01-01 44562
2016-01-01 47376
2017-01-01 48592
2018-01-01 50555
2019-01-01 58401
2020-01-01 63091
2021-01-01 60764
2022-01-01 61025

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